WEBVTT

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Slide 3, Sure.

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Yeah.

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OK.

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So yes, we are here.

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Go ahead.

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Yes, Justice, actually.

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So here, yes.

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You see, SAP stops at the office store.

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That was a powerful observation.

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This slide shows the full steel
production process from iron hole all the

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way to the finished flat and Long
Products.

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Where exactly does Lagar solution fit in
this picture?

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Yeah, well, in fact we picked,
we we fit in the old picture.

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So these are the processes which we cover.

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We cover the the upstream part and also
the downstream part starting from the the

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raw materials,
iron ore or whether you're producing from

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scrap level, furnace out furnace,
secondary metallurgy,

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continuous casting and then the
downstream part,

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whether it is Long Products or flat
products.

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We cover all the processes like hot
rolling, pickling, galvanizing,

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colour coat and slitting,
Catalan pipe production and and you name

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it,
our solution covers all these processes.

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Thank you so much.

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That actually leads us perfectly into our
next topic.

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And my next question is how does flat
still specific to make ARP

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implementations more complex than other
manufacturing industries?

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Yeah.

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Well,
in fact they are both complex flat and

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Long Products,
but flat still as there is the more

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characteristics defining the product,
it is it is more difficult to manage.

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So I have seen like companies to work
with the characteristics which is

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defining the product which is extended
like over 404 hundred characteristics,

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right.

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And it is really making hard for a
standard ERP system with a standard

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approach, the track, the materials,
the production, the quality,

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the delivery and so forth.

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So what we bring here,
especially we bring here an an knowledge

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base to manage all these processes.

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Yeah.

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Like for example,
here in all these processes we like we

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attract the materials with theoretical
tonnage because there's no actual waiting.

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So and then we do the weight correction
at the end of the and the end of the

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process we're at the delivery,
which makes,

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goes rolls backward and and corrects
everything.

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What is not usual in classical Erps is
normally in ERP you plan from top to

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bottom,
you have the sales order and then you

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plan all the way down the the pill of
material.

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But what is different here is in steel
industry especially,

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you have to plan first from top to bottom
and then you have to again go from bottom

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to top to see which products,
which semi finished products are suitable

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for which customer orders.

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So this is a different an approach which
needs that the shift in mindset.

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So we manage all these processes.

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I see.

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Let's dive into the industry more.

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What are the specific challenges still
the companies face and which of these do

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you see most common and why are they so
hard to solve?

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Yeah, well,
the major reason as I aforementioned,

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it's the the product complexity.

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So depending on the product which you're
producing,

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there is a large set of characteristics
which you need to maintain.

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There are a lot of attributes of the
products like you have the the quality of

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the chemical properties,
you have the dimensional properties,

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you have the strength,
you have the tolerances,

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you have the surface aspects, the coating.

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So this leads to a complex definition of
the product.

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Normally companies try to manage these in
different systems,

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but in ERP mostly other,
they have like level 1,

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level 2 systems where they keep these
master data and integrate there.

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But we have a different approach here.

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We keep all this knowledge based all
these standards in SAP and whether you

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run your production in SAP,
you use it there or whether you integrate

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it to your MES systems level 123 systems,
we feed this from SAP.

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So we keep the centrally in our
application well also.

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So this is an industry where you produce
both to stock and both to to customer

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requirements.

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Especially on Long Products,
the customers can interfere with what

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you're producing.

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So they want the specific characteristic
values to be included in in their sales

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orders.

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They want different tolerances,
different surface aspects,

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different lengths, different dimensions.

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So we have we have tools to manage all
these requests.

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Yeah.

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Well the one of the most important thing
is like costing.

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So I mean like you have wide variances of
of products and so we have an approach

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where we do order by order based costing.

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For each sales order,
we calculate the cost and it includes all

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the parameters which customers have
specified.

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So during the period or at the end of the
period,

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you can have your cost support based on
these characteristics, you can group them,

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you can analyse them well.

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Scrap management is also a challenge.

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So we consider like scrap as like to
inbound and outbound.

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The inbound is for the companies who are
using scrap as input to to the arc

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furnace where you we have the the
processes which is starting from the

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weigh bridge all the way down to the
expertise,

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the the classification and the
qualification of the receipt,

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receipt scrap.

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And also we do the automatic consumptions
and at the end of the period when you do

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like quantity survey,
then we adjust the consumption as per the

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quantity survey,
which also helps the correcting of the

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costing which I aforementioned.

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Well, yeah, the supply chain,
the management of supply chain is a

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challenge.

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So what we see in this industry is
depending on on what you're producing the

fcc76395-d1bf-48df-8489-13935f555949-1
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lead times,
the procurement lead times is quite long.

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It can go up to to two months,
three months.

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I even seen for some special products the
lead times go to six months.

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But you're on the other side,
you need to your customers demand their

098b1f7d-f970-4c9e-b37e-e4dc6168aedd-1
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products in the short term lead times.

31a3ecdf-d1f1-447a-90f4-8dd95f779bf7-0
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So maybe in a month or two.

11e12f77-24ef-44e5-9946-e5aa87a6b93f-0
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So the the demand lead time is although
shorter than the supply lead time.

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So what you need to do,
you need to have some forecast based on

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the characteristics of what you're going
to produce and manage your supply

b7d9ed4f-abc4-47ed-b510-cc6397e9542b-2
00:08:04.433 --> 00:08:05.400
accordingly.

d6043180-6fa3-4728-95d3-986af2f720ef-0
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So we have tools to help you manage these
processes.

753740a5-c9c4-446c-affd-1acb43a836cb-0
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Yeah.

2510c17e-a2e3-496b-a1d0-7f214d6ec7bf-0
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Well,
especially in like big companies who's

2510c17e-a2e3-496b-a1d0-7f214d6ec7bf-1
00:08:16.147 --> 00:08:20.564
operating in multiple plants or across
countries that we,

2510c17e-a2e3-496b-a1d0-7f214d6ec7bf-2
00:08:20.564 --> 00:08:26.810
we also that they have different systems
and even if they have the same system in

2510c17e-a2e3-496b-a1d0-7f214d6ec7bf-3
00:08:26.810 --> 00:08:32.903
place, they have the same processes,
they have different, different work flows,

2510c17e-a2e3-496b-a1d0-7f214d6ec7bf-4
00:08:32.903 --> 00:08:34.960
they manage it differently.

ccd192a5-420b-4c67-b273-888a7e7f1942-0
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So what we bring at Nagato with our
solution is we standardize all the

ccd192a5-420b-4c67-b273-888a7e7f1942-1
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processes from sales all the way down to
procurement and you can use it across all

ccd192a5-420b-4c67-b273-888a7e7f1942-2
00:08:48.490 --> 00:08:49.720
your entities.

dd2ca1d4-79b5-4cf0-8fa1-2bf2bcf9af9d-0
00:08:52.480 --> 00:08:54.920
Well, scheduling and line balancing.

7a945eb0-2c58-46ed-8629-760807905201-0
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This is an interesting point.

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So also depending on the process in steel,
whether it's like casting, hot crawling,

4e894203-2068-4ec9-a64d-011771590690-1
00:09:03.627 --> 00:09:06.491
galvanizing,
each has different parameters,

4e894203-2068-4ec9-a64d-011771590690-2
00:09:06.491 --> 00:09:09.160
it has different rule sets to be planned.

5d6b7d2a-6fbe-49d0-b6b3-8f9413a4e6a6-0
00:09:09.720 --> 00:09:16.045
So normally companies use like MES
systems or like a level one or two

5d6b7d2a-6fbe-49d0-b6b3-8f9413a4e6a6-1
00:09:16.045 --> 00:09:19.480
systems to plan, plan these processes.

3f3411fa-4257-46b0-8e60-22b6b318b4fe-0
00:09:20.440 --> 00:09:23.774
So we have to approach here,
either we provide the inputs,

3f3411fa-4257-46b0-8e60-22b6b318b4fe-1
00:09:23.774 --> 00:09:28.351
we create the work orders in, in SAP,
we combine them and we send to the system,

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00:09:28.351 --> 00:09:32.363
the planning is done there and then we
receive the the consumption and

3f3411fa-4257-46b0-8e60-22b6b318b4fe-3
00:09:32.363 --> 00:09:33.720
production in real time.

0068dcbb-4fc5-4702-9853-7b300ac017a1-0
00:09:34.080 --> 00:09:39.873
Or we can do it on SAP,
but with simple rules or with how do I

0068dcbb-4fc5-4702-9853-7b300ac017a1-1
00:09:39.873 --> 00:09:44.840
say with a tool where you can do your own
sequencing.

8069a827-68b2-46cf-851f-cf9374c4749b-0
00:09:45.800 --> 00:09:48.040
But we don't do the optimization here.

bb37b295-346c-4dd6-be3e-d72120af384d-0
00:09:48.800 --> 00:09:55.072
If you need optimization,
you again need to go and they implement

bb37b295-346c-4dd6-be3e-d72120af384d-1
00:09:55.072 --> 00:10:00.680
the specialized systems like in the OR
equivalent systems.

8267df3e-e09c-4f83-970e-51b4b76deeb9-0
00:10:04.120 --> 00:10:07.800
Yeah, well,
this is about the metal pricing.

42b628e2-58eb-4379-9fb2-3235af7792e2-0
00:10:09.200 --> 00:10:14.816
So the most of the product is like the
most of the cost sits in the the raw

42b628e2-58eb-4379-9fb2-3235af7792e2-1
00:10:14.816 --> 00:10:16.960
material and also the energy.

2d073c58-ac65-4797-ac9e-39395501b70f-0
00:10:17.480 --> 00:10:22.920
But depending on the product also you
have the non, non Paris metal pricing.

321c2134-c29a-4701-8f61-df72856d377f-0
00:10:22.920 --> 00:10:26.092
Like for example,
if it's like galvanizing,

321c2134-c29a-4701-8f61-df72856d377f-1
00:10:26.092 --> 00:10:31.211
you have the zinc, if it's color coating,
you have the the the paints,

321c2134-c29a-4701-8f61-df72856d377f-2
00:10:31.211 --> 00:10:35.249
the the primary,
the secondary paints and and we manage

321c2134-c29a-4701-8f61-df72856d377f-3
00:10:35.249 --> 00:10:39.720
this costing process of these products in
our system as well.

4f6262b4-e8ba-4da1-b8b6-4559fa169188-0
00:10:43.440 --> 00:10:43.720
Yeah.

bda4f411-13d1-4b66-9f6b-b050f150e0c7-0
00:10:43.720 --> 00:10:48.397
Well,
production order history like from mother

bda4f411-13d1-4b66-9f6b-b050f150e0c7-1
00:10:48.397 --> 00:10:55.900
coil down to a all the way to, to,
to child coil or from heat to to the salt

bda4f411-13d1-4b66-9f6b-b050f150e0c7-2
00:10:55.900 --> 00:10:56.680
product.

7d10bbef-be67-43a9-8ba8-f2e75a4e30d5-0
00:10:57.160 --> 00:11:01.080
We keep all this history on SAP.

12a1e9dd-91a3-49be-bb46-27f19cb09be6-0
00:11:01.440 --> 00:11:06.988
Whatever you do on material,
whatever you produce or wherever you move

12a1e9dd-91a3-49be-bb46-27f19cb09be6-1
00:11:06.988 --> 00:11:11.600
the material, we,
we track all these genealogy on, on SAP.

c2df37e5-8a54-4226-aae9-608788acd3e8-0
00:11:12.320 --> 00:11:16.640
So you don't need to go and track in
other systems.

1fd644fb-0e5f-42d6-aa18-a60c906c3d43-0
00:11:16.640 --> 00:11:21.917
Normally when companies use other system
MES systems like you have the sales organ

1fd644fb-0e5f-42d6-aa18-a60c906c3d43-1
00:11:21.917 --> 00:11:24.080
SAP, you have the products in SAP.

ef915d80-aa89-46ac-9180-e0b06a310757-0
00:11:24.640 --> 00:11:28.883
But if you want to go back what happened
in the production number,

ef915d80-aa89-46ac-9180-e0b06a310757-1
00:11:28.883 --> 00:11:33.570
they have to go and look into their MES
systems to see what has happened,

ef915d80-aa89-46ac-9180-e0b06a310757-2
00:11:33.570 --> 00:11:38.320
what were the, the quality results,
in which processes, what time it went.

cd41fb3a-0ef6-49e6-9b3c-8e9d83cc4d5a-0
00:11:38.680 --> 00:11:40.160
So you don't have to do this.

053ee216-ac9a-42f5-97fe-60361e0d7905-0
00:11:40.160 --> 00:11:47.728
You can look see all these in one report
on a safety well order combination of

053ee216-ac9a-42f5-97fe-60361e0d7905-1
00:11:47.728 --> 00:11:52.711
another pain point where OK you have made
to order,

053ee216-ac9a-42f5-97fe-60361e0d7905-2
00:11:52.711 --> 00:11:59.321
you have made to stock productions,
but depending on your production

053ee216-ac9a-42f5-97fe-60361e0d7905-3
00:11:59.321 --> 00:12:00.279
processes.

0de83e2c-df85-4ad8-811a-ac89896724c7-0
00:12:00.400 --> 00:12:03.980
So companies they need to to combine
these orders,

0de83e2c-df85-4ad8-811a-ac89896724c7-1
00:12:03.980 --> 00:12:09.387
aggregate them and segregate them in
different processes and the segregation

0de83e2c-df85-4ad8-811a-ac89896724c7-2
00:12:09.387 --> 00:12:13.600
and segregation also is different for
each production line.

07090210-3bf8-4130-a17f-e8797bdb7c57-0
00:12:13.960 --> 00:12:23.148
So we have means to to manage this order
combination on the safety and the last

07090210-3bf8-4130-a17f-e8797bdb7c57-1
00:12:23.148 --> 00:12:26.480
but not least the visibility.

4d461ab3-a98f-4a81-89c8-1c7e90358be8-0
00:12:26.520 --> 00:12:30.557
So as I mentioned in the beginning,
normally when,

4d461ab3-a98f-4a81-89c8-1c7e90358be8-1
00:12:30.557 --> 00:12:34.200
when the when the material enters
production.

14b3e7e9-ed50-493d-a48e-960b84465a89-0
00:12:34.480 --> 00:12:37.444
If you are,
if you're not using the ERP system to

14b3e7e9-ed50-493d-a48e-960b84465a89-1
00:12:37.444 --> 00:12:41.120
track your production though,
So there's a blind spot, right?

87b45e9b-09c1-4274-a590-846b3e0f45f8-0
00:12:41.920 --> 00:12:47.257
You don't see the the day-to-day meal
operations on your ERP system or you see

87b45e9b-09c1-4274-a590-846b3e0f45f8-1
00:12:47.257 --> 00:12:49.960
it the integration, but with a time gap.

5203e341-a988-4924-97e4-39d930b57b13-0
00:12:50.400 --> 00:12:54.536
So with our system,
you can see it immediately when the

5203e341-a988-4924-97e4-39d930b57b13-1
00:12:54.536 --> 00:12:58.600
material is consumed or when the material
is produced.

06678607-3c9b-46b6-a89b-b52aa1b8c51f-0
00:12:58.600 --> 00:13:01.169
If there's a deviation,
if there's a like you,

06678607-3c9b-46b6-a89b-b52aa1b8c51f-1
00:13:01.169 --> 00:13:05.651
you move it from the grade A to grade B,
you'll see it immediately and you'll see

06678607-3c9b-46b6-a89b-b52aa1b8c51f-2
00:13:05.651 --> 00:13:09.039
the deficit in the sales order where you
can act immediately.

192a08a7-0877-4f8a-be1c-c3f3865bb2fd-0
00:13:12.880 --> 00:13:17.479
So yeah,
so I'm going to talk about our solution

192a08a7-0877-4f8a-be1c-c3f3865bb2fd-1
00:13:17.479 --> 00:13:22.360
portfolio and what we bring as an add on
as Nagato.

0ca1c56e-ff09-40f1-b2f4-3dbc13508f65-0
00:13:22.360 --> 00:13:30.052
So this slide shows our SAP is for HANA
modular application portfolio from buy to

0ca1c56e-ff09-40f1-b2f4-3dbc13508f65-1
00:13:30.052 --> 00:13:32.960
supply, make, sell and finance.

af3971b4-cb5f-40cb-afe6-16d07ab3e7cd-0
00:13:33.520 --> 00:13:37.782
We have all these processes there,
whether it is public clouds or whether it

af3971b4-cb5f-40cb-afe6-16d07ab3e7cd-1
00:13:37.782 --> 00:13:41.160
is the private cloud,
whichever version you go, it is there.

de2f9506-d816-4f32-ad90-7be313fa9545-0
00:13:41.160 --> 00:13:46.795
And we have the the supportive functions
below the design, maintain, service,

de2f9506-d816-4f32-ad90-7be313fa9545-1
00:13:46.795 --> 00:13:50.480
human Capital Management,
all functions are there.

3ce8a4b8-0601-42ae-a861-3271f9bc1223-0
00:13:51.240 --> 00:13:56.720
But in addition to this layer,
what we bring is on the next slide.

1ff3ed20-40f7-4e5d-a361-a87b020b4475-0
00:13:58.880 --> 00:14:01.360
No, I actually we have a quick,
quick question here.

a76ab00c-e2aa-4339-9ee8-b55bbb7d0507-0
00:14:02.040 --> 00:14:02.640
Please go ahead.

bf113fb4-1385-4b28-9185-8a88c2bf4337-0
00:14:02.640 --> 00:14:06.894
Can you walk us through what the full
process looks like in the system from a

bf113fb4-1385-4b28-9185-8a88c2bf4337-1
00:14:06.894 --> 00:14:10.440
customer order arriving all the way to
the quail limit the gate?

e9af4e80-9dc3-4d1f-af36-0adcc0d36bcf-0
00:14:11.440 --> 00:14:15.765
Yeah, So yeah,
maybe I will make it a little bit brief

e9af4e80-9dc3-4d1f-af36-0adcc0d36bcf-1
00:14:15.765 --> 00:14:20.720
what we do here and then maybe walk you
through the processes.

5e7b4ecc-724e-4bb0-8650-df693cc752fb-0
00:14:21.320 --> 00:14:24.960
So as on top of SAP standard products.

cca1b349-aeba-40fb-bb42-43c4cf3e7a17-0
00:14:24.960 --> 00:14:31.154
So what we have as I aforementioned the
we manage on the left up corner the

cca1b349-aeba-40fb-bb42-43c4cf3e7a17-1
00:14:31.154 --> 00:14:33.600
product specification catalog.

c17003f2-df09-466d-aaca-0e094c1349ad-0
00:14:33.600 --> 00:14:39.394
So the all the knowledge base of the
companies here in that the quality,

c17003f2-df09-466d-aaca-0e094c1349ad-1
00:14:39.394 --> 00:14:43.759
the standards,
everything is here managed and which is

c17003f2-df09-466d-aaca-0e094c1349ad-2
00:14:43.759 --> 00:14:48.759
used by by SAP or also we populate your
MES systems from here.

8794c64d-3266-4888-9751-01417d855c57-0
00:14:49.440 --> 00:14:54.630
Well or the costing,
the the scrap management is here the

8794c64d-3266-4888-9751-01417d855c57-1
00:14:54.630 --> 00:15:00.715
pricing calculation mechanism,
the pricing for sales price and also

8794c64d-3266-4888-9751-01417d855c57-2
00:15:00.715 --> 00:15:07.963
purchase price is all in SAP where you
have like complex pricing procedures like

8794c64d-3266-4888-9751-01417d855c57-3
00:15:07.963 --> 00:15:12.079
you have the base price,
you have the extras.

7add9397-febb-439b-bc5d-5f18b123f185-0
00:15:13.320 --> 00:15:16.760
And these needs to be calculated
automatically.

60440e24-0101-4b48-b568-87d1ef2a4ce9-0
00:15:17.120 --> 00:15:22.680
And these calculations might be based on
the terms of sales, terms of payment.

085081c6-7883-4cb0-a148-05c5f68a279b-0
00:15:24.320 --> 00:15:27.800
You can apply special credit risk
controls.

9b16019d-5b6e-4299-8d94-521ec6b938e8-0
00:15:28.760 --> 00:15:33.531
I've seen companies who's applying even
credit risk controls on on production

9b16019d-5b6e-4299-8d94-521ec6b938e8-1
00:15:33.531 --> 00:15:38.120
before entering into production,
which is not usual in any other industry.

0290f0d0-c85d-475a-838a-07588e15bcaf-0
00:15:39.280 --> 00:15:43.218
Like for example where you make the risk
control when you take the order or when

0290f0d0-c85d-475a-838a-07588e15bcaf-1
00:15:43.218 --> 00:15:44.240
you when you deliver.

07d30626-a24a-44b9-9ad7-ec55b78cd095-0
00:15:44.240 --> 00:15:49.337
But if you're producing specifically for
a customer as per their specification,

07d30626-a24a-44b9-9ad7-ec55b78cd095-1
00:15:49.337 --> 00:15:54.179
then you have to make sure that the
customer check the customer risk before

07d30626-a24a-44b9-9ad7-ec55b78cd095-2
00:15:54.179 --> 00:15:58.958
you do the production because otherwise
then you have your leftover with a

07d30626-a24a-44b9-9ad7-ec55b78cd095-3
00:15:58.958 --> 00:16:02.080
product which you cannot send to to
anyone else.

fd2fe7c5-a3d4-4bd6-b01b-f428c3b9d103-0
00:16:02.080 --> 00:16:05.939
So,
so we have all these add-ons mil test

fd2fe7c5-a3d4-4bd6-b01b-f428c3b9d103-1
00:16:05.939 --> 00:16:08.880
certificates we create from SAP.

2421f762-53e3-4488-bf42-c6edfed9b40b-0
00:16:10.520 --> 00:16:16.484
So depending on the processes you have,
it can be directly sent through the

2421f762-53e3-4488-bf42-c6edfed9b40b-1
00:16:16.484 --> 00:16:22.920
system when the truck exits from the the
weigh bridge or it can be sent manually.

b645e2e5-3f80-4f2a-922c-b87d80e1bfb7-0
00:16:25.240 --> 00:16:29.451
The scrap calculations we do it
automatically based on the theoretical

b645e2e5-3f80-4f2a-922c-b87d80e1bfb7-1
00:16:29.451 --> 00:16:33.840
values, what has been produced,
what has been trimmed, what has been cut.

0af2d84f-fa17-46b6-aed8-293baf358bb6-0
00:16:34.680 --> 00:16:39.743
These calculations are done automatically
and at certain periods it's it's being

0af2d84f-fa17-46b6-aed8-293baf358bb6-1
00:16:39.743 --> 00:16:44.369
net netted off like for example,
when you have the the scrap you have the

0af2d84f-fa17-46b6-aed8-293baf358bb6-2
00:16:44.369 --> 00:16:47.120
we make puts receipt on theoretical
values.

65fa9e54-28c5-4476-9b14-5ad91afb3a88-0
00:16:47.120 --> 00:16:51.832
But when you sell the scrap or when you
he did back into your process,

65fa9e54-28c5-4476-9b14-5ad91afb3a88-1
00:16:51.832 --> 00:16:55.018
it's weight,
then we do the correction and this

65fa9e54-28c5-4476-9b14-5ad91afb3a88-2
00:16:55.018 --> 00:17:00.063
correction also affects the the product
costing and it's a very significant

65fa9e54-28c5-4476-9b14-5ad91afb3a88-3
00:17:00.063 --> 00:17:02.320
amount of amount to be considered.

948e719c-9f97-45bb-a507-d3f93813a90a-0
00:17:02.960 --> 00:17:09.396
We manage make the stock and make the
order production in combination stock

948e719c-9f97-45bb-a507-d3f93813a90a-1
00:17:09.396 --> 00:17:15.664
movements from making movements from like
a grade A to grade B or moving,

948e719c-9f97-45bb-a507-d3f93813a90a-2
00:17:15.664 --> 00:17:19.560
moving some products between customer
orders.

90cc4db4-61ce-42b8-8981-9f05e50fb378-0
00:17:19.560 --> 00:17:26.051
These are done with that within a
snapshot subcontractor or tracking all

90cc4db4-61ce-42b8-8981-9f05e50fb378-1
00:17:26.051 --> 00:17:29.520
the product movements within the plant.

e0367c71-73b1-4c9f-bab7-43a7b9e5c183-0
00:17:29.520 --> 00:17:33.160
It's done by barcodes from beginning to
end to shipments.

42e39c55-51bd-4e1b-8bf5-f6a4144555ef-0
00:17:33.520 --> 00:17:40.748
So this is in there and like packaging
like assemble or disassemble a package,

42e39c55-51bd-4e1b-8bf5-f6a4144555ef-1
00:17:40.748 --> 00:17:46.055
this is a process,
the burden process especially for like

42e39c55-51bd-4e1b-8bf5-f6a4144555ef-2
00:17:46.055 --> 00:17:48.800
metal sheets or Long Products.

7766fc5f-65d3-4bd6-99ba-ad0eb766c892-0
00:17:48.880 --> 00:17:53.778
So and pipes and we manage all these,
all the track movements from inbound

7766fc5f-65d3-4bd6-99ba-ad0eb766c892-1
00:17:53.778 --> 00:17:57.501
planning, outbound planning,
the capacity of the trucks,

7766fc5f-65d3-4bd6-99ba-ad0eb766c892-2
00:17:57.501 --> 00:18:02.400
the weighbridge operation operation,
it's done whether you are waiting for

7766fc5f-65d3-4bd6-99ba-ad0eb766c892-3
00:18:02.400 --> 00:18:07.168
control purposes or whether you're
selling by the actual weight from the

7766fc5f-65d3-4bd6-99ba-ad0eb766c892-4
00:18:07.168 --> 00:18:07.560
truck.

c2f2cc62-2137-47c6-bead-f5b071cecc20-0
00:18:07.560 --> 00:18:12.271
These are all benefit through our our own
Weybridge system,

c2f2cc62-2137-47c6-bead-f5b071cecc20-1
00:18:12.271 --> 00:18:16.120
which is integrated into all of these
processes.

7dfb720e-2286-4bcc-b73f-cff5a2a02b73-0
00:18:19.200 --> 00:18:24.251
Yes, this slide shows 3 components,
SAP primary metals industrial solution

7dfb720e-2286-4bcc-b73f-cff5a2a02b73-1
00:18:24.251 --> 00:18:28.494
covering flat rolling,
long rolling and aluminum and the Nagar

7dfb720e-2286-4bcc-b73f-cff5a2a02b73-2
00:18:28.494 --> 00:18:29.640
solution library.

c7ff8f37-a136-4c64-9bc0-07bc4a420917-0
00:18:30.000 --> 00:18:32.320
So how does that combination work in
practice?

89756f56-626b-41d6-9a93-8ed496d6a6fc-0
00:18:32.920 --> 00:18:33.080
Yeah.

2862748a-612b-45ff-9bb9-8ac4d4493982-0
00:18:34.200 --> 00:18:39.389
So, well, in the like 2 slides back,
we've shown that what SAP is bringing to

2862748a-612b-45ff-9bb9-8ac4d4493982-1
00:18:39.389 --> 00:18:40.520
the table, right?

70f76b79-3ea3-4785-a736-fc45ee092030-0
00:18:40.520 --> 00:18:44.163
We have the,
the full functionality from buy to sell,

70f76b79-3ea3-4785-a736-fc45ee092030-1
00:18:44.163 --> 00:18:46.120
all the finance and so forth.

0088b866-19f1-4aa4-b100-27fa11d2398a-0
00:18:46.120 --> 00:18:51.720
And also SAP brings us the base for
primary metals, right.

395f2a54-e749-435a-a3c5-31e1d41d492d-0
00:18:52.240 --> 00:18:55.623
So what we bring on top is our solution
library,

395f2a54-e749-435a-a3c5-31e1d41d492d-1
00:18:55.623 --> 00:18:58.800
which I just mentioned in the previous
slide.

6076b0c9-ea0e-4784-a507-7307c839740b-0
00:18:59.680 --> 00:19:06.602
So when we combine all these three,
so we bring you a system which includes

6076b0c9-ea0e-4784-a507-7307c839740b-1
00:19:06.602 --> 00:19:13.160
all these solutions where you can
immediately start a fit gap analysis.

157e9ebd-f6c0-4b10-9a83-d08f0f0fb0d5-0
00:19:13.160 --> 00:19:18.375
And this even includes the material calls
the bill of materials also because this

157e9ebd-f6c0-4b10-9a83-d08f0f0fb0d5-1
00:19:18.375 --> 00:19:20.920
doesn't change much within the industry.

c5ff20ed-0c0a-41af-b0f3-886bcc708ab3-0
00:19:20.960 --> 00:19:22.920
OK, the coding must can change.

491118ed-eba7-4c60-b219-a36424f5a5f7-0
00:19:22.920 --> 00:19:28.320
Your processes can change slightly,
but we give you a chance where they want.

c75954cd-997a-47e3-a82c-07b4d272516d-0
00:19:28.320 --> 00:19:34.200
You can starts testing with the system
with a pit cap analysis.

fedc7a78-d294-4c79-9d93-c281e4a88dfd-0
00:19:34.200 --> 00:19:38.080
We don't come to you with a white paper
and ask you, OK, what are you doing?

a2f338ce-f864-4ffb-b889-a74d2246644b-0
00:19:38.080 --> 00:19:39.120
What are you producing?

a3931a21-a3e8-47aa-b2ac-f980ade13c79-0
00:19:39.520 --> 00:19:40.920
Tell us about your processes.

5d6429f4-1bfb-4159-86eb-77ea4f4a0aa0-0
00:19:40.920 --> 00:19:41.720
We don't do this.

f8ecd17f-bd2d-43d6-9e15-c224328a354d-0
00:19:42.040 --> 00:19:43.800
We show you how this runs.

66b0618d-08fb-4088-aaab-7572f6e9d934-0
00:19:45.600 --> 00:19:48.217
Yeah,
Actually my second question about this

66b0618d-08fb-4088-aaab-7572f6e9d934-1
00:19:48.217 --> 00:19:53.102
slide is in the on slide it asks how much
is the solution suitable for your company

66b0618d-08fb-4088-aaab-7572f6e9d934-2
00:19:53.102 --> 00:19:55.720
and will the company need any
customization?

9b287372-22e0-42e3-8b44-d4bf6f1ba5dd-0
00:19:56.080 --> 00:19:58.280
So how do you answer those honestly?

055a01d1-ec15-473a-b746-031749a88ff8-0
00:19:58.920 --> 00:19:59.080
Yeah.

c053b42b-bfe3-416c-9c9a-7e92fd13f945-0
00:19:59.640 --> 00:20:01.840
Well, that's a good question.

7cc1a0fe-136a-4799-8b4d-d52eb58f1c70-0
00:20:03.040 --> 00:20:09.440
The normally the solution fits 8 to 90%
and the remaining like 1020%.

3bc6459d-20c6-4244-a68a-9febc164096c-0
00:20:09.760 --> 00:20:14.952
It is what is making the the
differentiator of the subject company

3bc6459d-20c6-4244-a68a-9febc164096c-1
00:20:14.952 --> 00:20:21.075
which we're talking right there are the
there are some differences in managing

3bc6459d-20c6-4244-a68a-9febc164096c-2
00:20:21.075 --> 00:20:26.732
the processes like managing the the
customer risk or they have different

3bc6459d-20c6-4244-a68a-9febc164096c-3
00:20:26.732 --> 00:20:28.360
production processes.

c719ffac-0034-41e7-b28b-3d0b32947cef-0
00:20:28.760 --> 00:20:30.880
Different methods of managing it.

c667d630-1870-4d6d-a1cc-6daf49a7055b-0
00:20:30.880 --> 00:20:38.640
So we we identify these and we know these
gaps and and we fill these gaps.

aa0a3201-e61a-415f-8d42-818324d3306a-0
00:20:39.040 --> 00:20:47.242
So what I can tell here is like within
like 6 to 8 months period from beginning

aa0a3201-e61a-415f-8d42-818324d3306a-1
00:20:47.242 --> 00:20:52.369
to end,
we can give you a full running system and

aa0a3201-e61a-415f-8d42-818324d3306a-2
00:20:52.369 --> 00:20:55.240
which we did it in the past.

bbd0295f-936a-4cac-86d5-89f7d6d8411e-0
00:20:55.240 --> 00:21:01.455
Also like we work with companies,
steel companies which didn't exit they

bbd0295f-936a-4cac-86d5-89f7d6d8411e-1
00:21:01.455 --> 00:21:03.840
the factory was being built.

1176e63c-370a-45c0-9561-25d8c22dd2da-0
00:21:03.960 --> 00:21:09.915
And with this approach those companies
all the production, the first production,

1176e63c-370a-45c0-9561-25d8c22dd2da-1
00:21:09.915 --> 00:21:13.885
the first sales,
the first inwards it came out of the

1176e63c-370a-45c0-9561-25d8c22dd2da-2
00:21:13.885 --> 00:21:14.400
safety.

17816d3e-a848-4e20-b726-ea08982d4d13-0
00:21:14.600 --> 00:21:16.200
It was already it was working.

873d8065-4139-491b-a7d1-da22f5e7500f-0
00:21:16.200 --> 00:21:18.000
And this is a proven solution.

7539415d-aeb6-429d-b692-94b013be4d21-0
00:21:19.800 --> 00:21:21.600
Yes, such a great success story.

f32c5be0-adb5-4140-a79b-49b589c0d525-0
00:21:22.280 --> 00:21:26.985
So we have an impressive list of steel
companies already using the solution

f32c5be0-adb5-4140-a79b-49b589c0d525-1
00:21:26.985 --> 00:21:31.320
across steel plants, Long Products,
flat products and pipe and tubes.

56d4fc96-a055-4843-b8c3-79b16ce7ba34-0
00:21:31.920 --> 00:21:34.194
Yeah,
pausing for a moment for our audience to

56d4fc96-a055-4843-b8c3-79b16ce7ba34-1
00:21:34.194 --> 00:21:34.920
check them all.

d09db4c9-a946-4dfe-96ad-c9acac62a953-0
00:21:35.440 --> 00:21:35.640
Yeah.

ff61aba2-c651-48e8-b264-7dda2f1c214e-0
00:21:36.240 --> 00:21:40.626
So I mean, yeah, there is,
I would say like more than 50 million

ff61aba2-c651-48e8-b264-7dda2f1c214e-1
00:21:40.626 --> 00:21:44.000
tons of production here,
so all around the world.

18ae3edd-5c68-4a39-92b4-3733252aaee8-0
00:21:44.600 --> 00:21:48.200
So from steel plant to Long Products,
flat products, pipes and tubes.

65eed762-5380-487b-98af-cc5dee22ea07-0
00:21:48.880 --> 00:21:53.120
So there's a lot of companies who's using
the proposed solution.

8e799393-97f6-4874-944f-737900921476-0
00:21:53.120 --> 00:22:00.234
So this shows us that this is a proven
methodology and this is a proven solution

8e799393-97f6-4874-944f-737900921476-1
00:22:00.234 --> 00:22:07.260
and and every implementation has thought
of something we'll learn from each and

8e799393-97f6-4874-944f-737900921476-2
00:22:07.260 --> 00:22:09.720
each of our implementations.

187e29a6-d643-4267-b765-6d46882f6a80-0
00:22:10.200 --> 00:22:15.360
And this led to our solution library
which we've built over the years.

118d4b5d-4c65-4650-9039-6f3f393085a0-0
00:22:16.680 --> 00:22:21.525
So when a new customer starts,
they benefit from every implementation

118d4b5d-4c65-4650-9039-6f3f393085a0-1
00:22:21.525 --> 00:22:26.924
which came before them and which is a
proven solution and which is guaranteed

118d4b5d-4c65-4650-9039-6f3f393085a0-2
00:22:26.924 --> 00:22:28.240
to run effectively.

9b8e8561-a41f-40d8-a1b5-8f49941d83d5-0
00:22:30.040 --> 00:22:30.400
I see.

d32cb1af-36dc-441b-a363-a585512d23b9-0
00:22:30.400 --> 00:22:31.120
Thank you so much.

18abb1da-1035-4b01-8aa5-a051e1011bf6-0
00:22:31.600 --> 00:22:35.598
And here at the world map,
those deployments across multiple

18abb1da-1035-4b01-8aa5-a051e1011bf6-1
00:22:35.598 --> 00:22:36.320
continents.

c6cdf5ba-b9f8-4126-8bfd-cc9ca5ef3f6d-0
00:22:36.600 --> 00:22:38.400
So where's the most interest right now?

6cec7e37-02a0-403e-bfc1-e820293b4359-0
00:22:38.560 --> 00:22:43.161
And what does a steel industry look like
in five years for companies that make

6cec7e37-02a0-403e-bfc1-e820293b4359-1
00:22:43.161 --> 00:22:45.200
this shift versus those that don't?

769f2589-0a4e-4560-a101-7ed1cff3d753-0
00:22:46.120 --> 00:22:46.360
Yeah.

a8e3b1d4-6edd-4cb2-bbcc-eb391121aad4-0
00:22:47.520 --> 00:22:51.504
Well,
we see like stock strong interest

a8e3b1d4-6edd-4cb2-bbcc-eb391121aad4-1
00:22:51.504 --> 00:22:58.080
especially in Middle East, also in,
in in Turkey, US, UK as well.

129af68d-f8f6-4ccc-a0ce-e1b68bfef3da-0
00:23:00.400 --> 00:23:06.085
So I think like in five years the
companies who invest in those systems and

129af68d-f8f6-4ccc-a0ce-e1b68bfef3da-1
00:23:06.085 --> 00:23:10.124
who doesn't,
I think there will be the gap will grow,

129af68d-f8f6-4ccc-a0ce-e1b68bfef3da-2
00:23:10.124 --> 00:23:16.183
especially when we are entering the AI
era and when the AI scenarios are coming,

129af68d-f8f6-4ccc-a0ce-e1b68bfef3da-3
00:23:16.183 --> 00:23:17.680
coming into picture.

eb27a184-b28c-4d9f-acad-4dfb8f594f90-0
00:23:19.280 --> 00:23:24.602
I think this would be having a system in
place which is running across all the

eb27a184-b28c-4d9f-acad-4dfb8f594f90-1
00:23:24.602 --> 00:23:25.680
functionalities.

7c441824-e268-4ac4-9c76-8c306f64484c-0
00:23:25.680 --> 00:23:27.640
I think this is the,
this is very important.

8f559618-98c7-4a1c-a645-a54b58eb119b-0
00:23:28.360 --> 00:23:34.712
So what is the differentiator of Nagar
here is also we're bringing all these

8f559618-98c7-4a1c-a645-a54b58eb119b-1
00:23:34.712 --> 00:23:37.600
solutions down to to to mid market.

b189a01d-d4f8-424a-889a-2ad4ece24dc6-0
00:23:38.680 --> 00:23:45.606
Normally when you look like 10 years back,
20 years back companies are using SAP

b189a01d-d4f8-424a-889a-2ad4ece24dc6-1
00:23:45.606 --> 00:23:48.600
mostly the design to big companies.

dfb3ab71-af4b-4b3e-92a4-a2d7c4ef884d-0
00:23:48.920 --> 00:23:54.661
But now we brought all these solutions
all the way down to steep even to steel

dfb3ab71-af4b-4b3e-92a4-a2d7c4ef884d-1
00:23:54.661 --> 00:23:58.440
service centers who has the same business
problems.

59971417-0582-464a-800e-6faf2f33a2ce-0
00:23:58.440 --> 00:24:03.280
It doesn't change only the scale changes,
but all the processes are the same.

2639d716-4214-43cf-8ea0-c732835b3050-0
00:24:03.960 --> 00:24:09.695
So we brought this solution to an
affordable level to to the mid market

2639d716-4214-43cf-8ea0-c732835b3050-1
00:24:09.695 --> 00:24:15.908
segment and it is valid in anywhere place
in the world, whether you go to US,

2639d716-4214-43cf-8ea0-c732835b3050-2
00:24:15.908 --> 00:24:20.289
you go to Africa, you're in Asia,
Middle East, Europe,

2639d716-4214-43cf-8ea0-c732835b3050-3
00:24:20.289 --> 00:24:22.520
it's the universal solution.

42aebc4b-5855-4bd6-8f0c-cb1f2445a491-0
00:24:24.080 --> 00:24:24.440
All right.

c8ed671d-e385-4bbf-90d1-14fa9dd1bfc6-0
00:24:24.440 --> 00:24:26.760
And we have another important question
coming.

bc5cd13b-7bc5-4ad8-8589-75492a207909-0
00:24:27.040 --> 00:24:31.459
What is the right next step for a company
watching today that wants to explore this

bc5cd13b-7bc5-4ad8-8589-75492a207909-1
00:24:31.459 --> 00:24:31.880
further?

5a09947d-3af7-4ee6-8f86-b2e9cef15d27-0
00:24:32.320 --> 00:24:32.680
Yeah.

a8a165e7-c70a-4604-8cd6-281fae582714-0
00:24:33.560 --> 00:24:41.199
Well lastly what we do is we listen to
your product mix and current your current

a8a165e7-c70a-4604-8cd6-281fae582714-1
00:24:41.199 --> 00:24:48.745
system landscape and understand your pain
points and give you an honest view on

a8a165e7-c70a-4604-8cd6-281fae582714-2
00:24:48.745 --> 00:24:50.159
what we can do.

0d60cf53-7859-4605-9e86-998d287b1205-0
00:24:51.600 --> 00:24:57.317
As I shown in the previous slides,
the full solution from I don't know or

0d60cf53-7859-4605-9e86-998d287b1205-1
00:24:57.317 --> 00:25:01.335
down to to the end products in the
downstream part,

0d60cf53-7859-4605-9e86-998d287b1205-2
00:25:01.335 --> 00:25:07.440
we have the full solution portfolio,
but any company can fit into any segment.

f9ce523c-a8cb-40d9-b1fc-cd638d2a1cf5-0
00:25:07.440 --> 00:25:09.760
They can have diverse processes.

88c72d2f-0baa-441d-a53d-979845fdbfdd-0
00:25:10.320 --> 00:25:17.526
So we see how the company fits into this
solution and we build a road map to

88c72d2f-0baa-441d-a53d-979845fdbfdd-1
00:25:17.526 --> 00:25:20.240
transform them to our system.

bfafde1b-2e0e-419a-9c04-d45472ab4d38-0
00:25:20.240 --> 00:25:22.680
All right.

d48cf4ea-2404-4b11-b5cd-5949ac97a598-0
00:25:23.560 --> 00:25:27.605
Thank you so much for the insightful
presentation and for sharing your

d48cf4ea-2404-4b11-b5cd-5949ac97a598-1
00:25:27.605 --> 00:25:29.600
valuable perspective with us today.

805891df-c247-45aa-9db2-a987e5d9b1e1-0
00:25:30.080 --> 00:25:33.320
And now we'd like to move on to the Q&
A session.

8af1486e-3b5f-4ce9-aa4b-8c3d69aa627a-0
00:25:34.360 --> 00:25:40.360
I'm just checking with our colleague to
see coming in.

ed580be2-d168-4397-83e3-7b0aac6e0369-0
00:25:46.190 --> 00:25:52.910
I believe not so well, even if not,
I think you have our contacts.

5911093d-4e7e-45ab-b734-aba2abf9b513-0
00:25:52.910 --> 00:25:58.580
So if you have any questions or if you
want a special session for us to

5911093d-4e7e-45ab-b734-aba2abf9b513-1
00:25:58.580 --> 00:26:02.675
understand or even to show the system how
it works,

5911093d-4e7e-45ab-b734-aba2abf9b513-2
00:26:02.675 --> 00:26:05.510
we would be more than glad to do it.

79477957-9015-4e47-89ad-89de5092c8c3-0
00:26:07.400 --> 00:26:09.920
Please don't hesitate to reach out to us.

54292472-10a2-41fe-a6c7-c7a5a0dc4e79-0
00:26:12.960 --> 00:26:16.720
We will be more than happy to to to
provide you more information.

213e29f0-d9fe-405e-b89a-50390fa6b089-0
00:26:17.160 --> 00:26:18.760
Yeah, I'd like to thank you as well.

59fd5651-6e7e-4fba-91f9-d4b12afdc79d-0
00:26:18.920 --> 00:26:21.480
I hope to see you again in our future
sessions.

eb2a0d4c-1c26-4fcd-b93a-13dc4c3e1a0c-0
00:26:22.080 --> 00:26:22.680
Thank you.